Research of Variable Cycle Engine Modeling Technologies

2016 ◽  
pp. 267-273 ◽  
Author(s):  
Shaochang Wang ◽  
Jiqiang Wang ◽  
Bo Jiang ◽  
Xiaolong He
Keyword(s):  
Engine Modeling

Variable Cycle Engine Modeling Based on MATLAB

2020 ◽  
Author(s):  
Xianyi Zeng ◽  
Linfeng Gou ◽  
Yawen Shen ◽  
Wenxin Shao ◽  
Jang Yang
Keyword(s):  
Engine Modeling

HCCI Engine Modeling for Real-Time Implementation and Control Development

2007 ◽  
Vol 12 (6) ◽  
pp. 581-589 ◽  
Author(s):  
Nan Jia ◽  
Jihong Wang ◽  
Keith Nuttall ◽  
Jianlin Wei ◽  
Hongming Xu ◽  
...  
Keyword(s):  
Real Time ◽  
Hcci Engine ◽  
Engine Modeling ◽  
And Control

Investigation of Flame Propagation Description in Quasi-Dimensional Spark Ignition Engine Modeling

2018 ◽  
Author(s):  
Simon Malcher ◽  
Michael Bargende ◽  
Michael Grill ◽  
Ulrich Baretzky ◽  
Hartmut Diel ◽  
...  
Keyword(s):  
Flame Propagation ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Modeling

Modeling and Simulation of Engine Power Based on MATLAB/SIMULINK

2014 ◽  
Vol 875-877 ◽  
pp. 929-933 ◽  
Author(s):  
Hui Meng ◽  
Li Qiang Wang ◽  
Zong Qi Han ◽  
Shu Bin Lei
Keyword(s):  
Modeling And Simulation ◽  
Bench Test ◽  
Matlab Simulink ◽  
Engine Modeling ◽  
Simulation Process ◽  
Fuel Dynamics ◽  
Model Engine ◽  
Output Characteristics ◽  
Actual Control ◽  
Engine Power

The intake system sub-model, the fuel dynamics sub-model and the power output sub-model are studied in this paper based on Elbert Hendricks engine mean model. Engine output characteristics using computational model is established in MATLAB/Simulink. Parameter of the modeling and simulation process is obtained through experiments, and finally, the engine bench test is done, and compared it with the simulation curve in same conditions. The results show that the model calculation has smaller error, higher precision, and which can meet the basic requirements of the engine modeling in actual control.

Influence of engine modeling on structural sizing and approach aerodynamics of a circulation controlled wing

2018 ◽  
Vol 9 (1) ◽  
pp. 219-233 ◽  
Author(s):  
Kay Sommerwerk ◽  
Benedikt Michels ◽  
Matthias C. Haupt ◽  
Peter Horst
Keyword(s):  
Engine Modeling

Automatic Engine Modeling for Failure Detection

2001 ◽  
Author(s):  
A. Schrempf ◽  
L. del Re ◽  
W. Groißböck ◽  
E. Lughofer ◽  
E. P. Klement ◽  
...  
Keyword(s):  
Fault Detection ◽  
Failure Detection ◽  
Abnormal Behavior ◽  
Automatic Modeling ◽  
Plant Operation ◽  
Fast Detection ◽  
Engine Modeling ◽  
Normal Behavior ◽  
Large Production ◽  
Abnormal Plant

Abstract Fast detection of abnormal plant operation is critical for many applications. Fault detection requires some kind of comparison between actual and “normal” behavior, which implies the use of models. Exact modeling of engine systems is probably impossible and even middle-complexity models are very time-consuming. In some few cases, as for on board diagnostics, the very limited amount of cases to be treated and the usually large production volumes allow to develop models suitable to detect an abnormal behavior, but, in general, however, this approach cannot be followed. As fast detection of abnormal plant operation is often critical, alternative low-effort approaches are required. This paper presents a procedure suitable for engine fault detection based on parallel automatic modeling. It is shown that this approach yields a flexible and reliable tool for automatic modeling for this goal, while keeping the effort for the operator rather low.

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